The Experts below are selected from a list of 93 Experts worldwide ranked by ideXlab platform
Benoît Martin - One of the best experts on this subject based on the ideXlab platform.
-
On decentralized control of small loads and energy rebound within primary frequency control
2016 Power Systems Computation Conference (PSCC), 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
-
PSCC - On decentralized control of small loads and energy rebound within primary frequency control
2016 Power Systems Computation Conference (PSCC), 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
-
On decentralized control of small loads and energy rebound within primary frequency control
19th Power Systems Computation Conference PSCC 2016, 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:© 2016 Power Systems Computation Conference. Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
Arnaud Latiers - One of the best experts on this subject based on the ideXlab platform.
-
On decentralized control of small loads and energy rebound within primary frequency control
2016 Power Systems Computation Conference (PSCC), 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
-
PSCC - On decentralized control of small loads and energy rebound within primary frequency control
2016 Power Systems Computation Conference (PSCC), 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
-
On decentralized control of small loads and energy rebound within primary frequency control
19th Power Systems Computation Conference PSCC 2016, 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:© 2016 Power Systems Computation Conference. Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
Hang Zhou - One of the best experts on this subject based on the ideXlab platform.
-
CH3NH3PbI3−xBrx perovskite solar cells via spray assisted two-step deposition: Impact of bromide on stability and cell performance
Materials & Design, 2017Co-Authors: Gaoda Chai, Hang Zhou, Walid A. DaoudAbstract:Abstract Fully converting the lead salt to perovskite is crucial for the performance of perovskite solar cells via the two-step deposition method. In this study, full conversion of PbI2 to perovskite is achieved via a spray assisted two-step deposition method with excess CH3NH3I sprayed onto the PbI2 layer. The influence of adding CH3NH3Br in the PbI2 solution in the first step on the resulting solar cells is investigated. The perovskite solar cells show significant increase in power conversion efficiency after one-Night Storage where a process of Br ion diffusion from Br-rich to I-rich regions is proposed. The study provides an alternative approach for incorporating Br and may help explaining the contradiction of reported conversion efficiency trends.
-
CH3NH3PbI3-xBrx perovskite solar cells via spray assisted two-step deposition: influence of bromide on the device performance
2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 2017Co-Authors: Gaoda Chai, Shizhen Wang, Hang ZhouAbstract:In this study, we demonstrated full conversion of PbI2 to perovskite via our spray assisted two-step deposition method and achieved solar cells with 13% efficiency. Moreover, the influence of adding MABr in the PbI2 solution in the first step on the resulting solar cells is investigated for the first time. The perovskite solar cells prepared in this manner showed a significant increase in the power conversion efficiency after one-Night Storage, and a process of Br ions diffusion is proposed.
-
CH 3 NH 3 PbI 3-x Br x perovskite solar cells via spray assisted two-step deposition: influence of bromide on the device performance
2017 IEEE 44th Photovoltaic Specialist Conference (PVSC), 2017Co-Authors: Gaoda Chai, Shizhen Wang, Hang ZhouAbstract:In this study, we demonstrated full conversion of PbI 2 to perovskite via our spray assisted two-step deposition method and achieved solar cells with 13% efficiency. Moreover, the influence of adding MABr in the PbI 2 solution in the first step on the resulting solar cells is investigated for the first time. The perovskite solar cells prepared in this manner showed a significant increase in the power conversion efficiency after one-Night Storage, and a process of Br ions diffusion is proposed.
Francois Glineur - One of the best experts on this subject based on the ideXlab platform.
-
On decentralized control of small loads and energy rebound within primary frequency control
2016 Power Systems Computation Conference (PSCC), 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
-
PSCC - On decentralized control of small loads and energy rebound within primary frequency control
2016 Power Systems Computation Conference (PSCC), 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
-
On decentralized control of small loads and energy rebound within primary frequency control
19th Power Systems Computation Conference PSCC 2016, 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:© 2016 Power Systems Computation Conference. Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
Emmanuel De Jaeger - One of the best experts on this subject based on the ideXlab platform.
-
On decentralized control of small loads and energy rebound within primary frequency control
2016 Power Systems Computation Conference (PSCC), 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
-
PSCC - On decentralized control of small loads and energy rebound within primary frequency control
2016 Power Systems Computation Conference (PSCC), 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.
-
On decentralized control of small loads and energy rebound within primary frequency control
19th Power Systems Computation Conference PSCC 2016, 2016Co-Authors: Arnaud Latiers, Francois Glineur, Emmanuel De Jaeger, Benoît MartinAbstract:© 2016 Power Systems Computation Conference. Decentralized decision making is a promising candidate for cost-effective participation of small electric loads to power system operations. In such setup, individual loads take control decisions based on local information. Local control laws are designed to synchronize individual efforts. Large loads groups may thereby contribute to system stability in a predictable way. In this paper, Energy Constrained Loads (e.g., battery charging, Night Storage heater) participates in primary control in a communication-free setup. Three different controllers and associated actions are considered: (1) delay at start, (2) regular on/off switching, or (3) proportional power modulation. Control laws are respectively based on discrete thresholds, probabilistic algorithms and proportional control. Two linear aggregate models are introduced to render large-scale simulations tractable. They accurately reproduce the group's frequency response in the three proposed control strategies. Long-term system simulations are then run to assess the group's response performance.